Development of a Predictive Multiple Reaction Monitoring (MRM) Model for High-Throughput ADME Analyses Using Learning-to-Rank (LTR) Techniques.

Multiple Reaction Monitoring (MRM) is an important MS/MS technique commonly used in drug discovery and development, allowing for the selective and sensitive quantification of compounds in complex matrices. However, compound optimization can be resource intensive and requires experimental determination of product ions for each compound. In this study, we developed a Learning-to-Rank (LTR) model to predict the product ions directly from compound structures, eliminating the requirement for MRM optimization experiments. Experimentally determined MRM conditions for 5757 compounds were used to develop the model. Using the MassChemSite software, theoretical fragments and their mass-to-charge ratios were generated, which were then matched to the experimental product ions to create a data set. Each possible fragment was ranked based on its intensity in the experimental data. Different LTR models were built on a training split. Hyperparameter selection was performed using 5-fold cross validation. The models were evaluated using the Normalized Discounted Cumulative Gain at top k (NDCG@k) and the Coverage at top k (Coverage@k) metrics. Finally, the model was applied to predict MRM conditions for a prospective set of 235 compounds in high-throughput Caco-2 permeability and metabolic stability assays, and quantification results were compared to those obtained with experimentally acquired MRM conditions. The LTR model achieved a NDCG@5 of 0.732 and Coverage@5 of 0.841 on the validation split, and its predictions led to 97% of biologically equivalent results in the Caco-2 permeability and metabolic stability assays.

Impact of SARS-CoV-2 viral load and duration of symptoms before hospital admission on the mortality of hospitalized COVID-19 patients.

PURPOSE: Assess the impact of viral load estimated by cycle threshold (Ct) of reverse transcription real time-polymerase chain reaction (rRT-PCR) and the days from symptoms onset on mortality in hospitalized patients with COVID19. METHODS: Retrospective observational study of 782 patients with a positive rRT-PCR from a nasopharyngeal swab was performed within the first 24 h from admission. Demographic data, clinical manifestations and laboratory parameters were collected. Uni- and multivariate analyses were performed to identify factors associated with mortality at 60 days. RESULTS: Ct was divided into three groups and the mortality rate decreased from 27.3 to 20.7% and 9.8% for Ct values of ≤ 20, 21-25 and > 25, respectively (P = 0.0001). The multivariate analysis identified as predictors of mortality, a Ct value < 20 (OR 3.13, CI 95% 1.38-7.10), between 21-25 (OR 2.47, CI 95% 1.32-4.64) with respect to a Ct value > 25. Days from symptoms onset is a variable associated with mortality as well (DSOA) ≤ 6 (OR 1.86, CI 95% 1.00-3.46), among other factors. Patients requiring hospital admission within 6 DSOA with a Ct value ≤ 25 had the highest mortality rate (28%). CONCLUSIONS: The inclusion of Ct values and DSOA in the characterization of study populations could be a useful tool to evaluate the efficacy of antivirals.

Clinical Presentation and Outcome of COVID-19 in a Latin American Versus Spanish Population: Matched Case-Control Study.

INTRODUCTION: Increased mortality has been reported in the Latin American population. The objective is to compare the clinical characteristics and outcome of Latin American and Spanish populations in a cohort of patients hospitalized with COVID-19 during the first year of the pandemic. METHODS: We retrospectively analysed all the Latin American patients (born in South or Central America) hospitalized in our centre from February 2020 to February 2021 and compared them with an age- and gender-matched group of Spanish subjects. Variables included were demographics, co-morbidities, clinical and analytical parameters at admission and treatment received. The primary outcomes were ICU admission and mortality at 60 days. A conditional regression analysis was performed to evaluate the independent baseline predictors of both outcomes. RESULTS: From the 3216 patients in the whole cohort, 216 pairs of case-controls (Latin American and Spanish patients, respectively) with same age and gender were analysed. COPD was more frequent in the Spanish group, while HIV was more prevalent in the Latin American group. Other co-morbidities showed no significant difference. Both groups presented with similar numbers of days from symptom onset, but the Latin American population had a higher respiratory rate (21 vs. 20 bpm, P = 0.041), CRP (9.13 vs. 6.22 mg/dl, P = 0.001), ferritin (571 vs. 383 ng/ml, P = 0.012) and procalcitonin (0.10 vs. 0.07 ng/ml, P = 0.020) at admission and lower cycle threshold of PCR (27 vs. 28.8, P = 0.045). While ICU admission and IVM were higher in the Latin American group (17.1% vs. 13% and 9.7% vs. 5.1%, respectively), this was not statistically significant. Latin American patients received remdesivir and anti-inflammatory therapies more often, and no difference in the 60-day mortality rate was found (3.2% for both groups). CONCLUSION: Latin American patients with COVID-19 have more severe disease than Spanish patients, requiring ICU admission, antiviral and anti-inflammatory therapies more frequently. However, the mortality rate was similar in both groups.

C-reactive protein cut-off for early tocilizumab and dexamethasone prescription in hospitalized patients with COVID-19.

Dexamethasone and tocilizumab have been associated with reduction in mortality, however, the beneficial effect is not for all patients and the impact on viral replication is not well defined. We hypostatized that C-reactive protein (CRP) could help in the identification of patients requiring anti-inflammatory therapy. Patients admitted for > 48 h in our hospital for a confirmed or suspected infection by SARS-CoV-2 from February 2020 to February 2021 were retrospectively evaluated. The primary outcome was mortality at 30 days. Demographics and the most relevant variables related with the outcome were included. CRP was stratified by percentiles. Univariate and multivariate analysis were performed. A total of 3218 patients were included with a median (IQR) age of 66 (74-78) years and 58.9% were males. The rate of intensive care unit admission was 24.4% and the 30-day mortality rate was 11.8%. Within the first 5 days from admission, 1018 (31.7%) patients received dexamethasone and 549 tocilizumab (17.1%). The crude analysis showed a mortality reduction in patients receiving dexamethasone when CRP was > 13.75 mg/dL and > 3.5 mg/dL for those receiving tocilizumab. Multivariate analysis identified the interaction of CRP > 13.75 mg/dL with dexamethasone (OR 0.57; CI 95% 0.37-0.89, P = 0014) and CRP > 3.5 mg/dL with tocilizumab (0.65; CI95%:0.44-0.95, P = 0.029) as independent predictors of mortality. Our results suggest that dexamethasone and tocilizumab are associated with a reduction in mortality when prescribed to patients with a certain inflammatory activity assessed by C-reactive protein.

Bacterial co-infection at hospital admission in patients with COVID-19.

OBJECTIVES: We described the current incidence and risk factors of bacterial co-infection in hospitalized patients with COVID-19. METHODS: Observational cohort study was performed at the Hospital Clinic of Barcelona (February 2020-February 2021). All patients with COVID-19 who were admitted for >48 hours with microbiological sample collection and procalcitonin (PCT) determination within the first 48 hours were included. RESULTS: A total of 1125 consecutive adults met inclusion criteria. Co-infections were microbiologically documented in 102 (9.1%) patients. Most frequent microorganisms were Streptococcus pneumoniae (79%), Staphylococcus aureus (6.8%), and Haemophilus influenzae (6.8%). Test positivity was 1% (8/803) for blood cultures, 10.1% (79/780) for pneumococcal urinary antigen test, and 11.4% (15/132) for sputum culture. Patients with PCT higher than 0.2, 0.5, 1, and 2 ng/mL had significantly more co-infections than those with lower levels (p=0.017, p=0.031, p<0.001, and p<0.001, respectively). In multivariate analysis, oxygen saturation ≤94% (OR 2.47, CI 1.57-3.86), ferritin levels <338 ng/mL (OR 2.63, CI 1.69-4.07), and PCT higher than 0.2 ng/mL (OR 1.74, CI 1.11-2.72) were independent risk factors for co-infection at hospital admission owing to COVID-19. CONCLUSIONS: Bacterial co-infection in patients hospitalized for COVID-19 is relatively common. However, clinicians could spare antibiotics in patients with PCT values <0.2, especially with high ferritin values and oxygen saturation >94%.

Impact of remdesivir according to the pre-admission symptom duration in patients with COVID-19.

BACKGROUND: The use of remdesivir has demonstrated a significant reduction in the time to recovery in patients with COVID-19. However, the impact on mortality is still controversial. Therefore, it is necessary to evaluate whether there is a specific subgroup of patients in whom an active antiviral therapy also reduces the mortality. METHODS: Patients admitted for >48 h in our hospital for a SARS-CoV-2 confirmed or suspected infection from February 2020 to February 2021 were retrospectively analysed. The primary outcome of the study was mortality at 30 days. Univariate and multivariate analyses were performed to identify predictors of mortality. RESULTS: In total, 2607 patients (438 receiving remdesivir and 2169 not) were included with a median (IQR) age of 65 (54-77) years and 58% were male. Four hundred and seventy-six were admitted to the ICU (18.3%) and 264 required invasive mechanical ventilation (10.1%). The global 30 day mortality rate was 10.7%. Pre-admission symptom duration of 4-6 days and ≤3 days was associated with a 1.5- and 2.5-fold increase in the mortality rate, respectively, in comparison with >6 days and treatment with remdesivir was independently associated with a lower mortality rate (OR = 0.382, 95% CI = 0.218-0.671). The analysis showed that the major difference was among patients with shorter pre-admission symptom duration (<6 days). CONCLUSIONS: Patients with ≤3 days and 4-6 days from symptom onset to admission are associated with a 2.5- and 1.5-fold higher risk of death, respectively. Remdesivir was associated with 62% reduced odds of death versus standard-of-care and its survival benefit increased with shorter duration of symptoms.

Trends in mortality of hospitalised COVID-19 patients: A single centre observational cohort study from Spain.

BACKGROUND: We aimed to describe changes in characteristics and treatment strategies of hospitalised patients with COVID-19 and detail the mortality trend over time. METHODS: Observational cohort study of all consecutive patients admitted ≥ 48 h to Hospital Clinic of Barcelona for COVID-19 (1 March-30 September 2020). FINDINGS: A total of 1645 consecutive patients with COVID-19 were assessed over a 7-month period. Overall mortality (≤30 days) was 9.7% (159 patients), 7.7% in patients hospitalised in regular wards and 16.7 % in patients requiring ICU admission. Overall mortality decreased from 11.6% in the first month to 1.4% in the last month, reflecting a progressive, significant downward trend (p for trend <0.001). Patients' age changed over time, peaking in June. Most changes in the use of antivirals and anti-inflammatory treatments were documented. Age (OR 1.1, CI 1.1-1.12), chronic heart disease, (OR 1.7, CI 1.1-2.9), D-dimer>700 ng/mL (OR 2.3, CI 1.3-4.1), ferritin>489 ng/mL (OR 1.9; CI 1.5-3.2), C-RP>7 mg/dL (OR 2.6; CI 1.5-4.6), and shorter duration from symptom onset to hospital admission (OR 1.11; CI 1.04-1.17) were factors associated with 30-day mortality at hospital admission. Conversely, hospital admission in the last months (OR 0.80; CI 0.65-0.98) was significantly associated with lower mortality. INTERPRETATION: In-hospital mortality has decreased in patients with COVID-19 over the last, few months, even though main patient characteristics remain similar. Several changes made when managing patients may explain this decreasing trend. Our study provides current data on mortality of patients hospitalised with COVID-19 that might be useful in establishing quality of standard of care. FUNDING: EIT Health, European Union´s Horizon 2020 Research and Innovation Programme), EDRD. PPA [CM18/00132], NGP [FI19/00133], and CGV [FIS PI18/01061], have received grants from Ministerio de Sanidad y Consumo, ISCIII.

CONTEXTO: Nuestro objetivo es describir los cambios en las características y las estrategias de tratamiento de los pacientes hospitalizados por COVID-19, y detallar la tendencia de la mortalidad en el tiempo. MÉTODOS: Estudio observacional de cohortes de todos los pacientes consecutivos, ingresados por COVID-19 durante más de 48 horas, en el Hospital Clínic de Barcelona (del 1 de marzo al 30 de septiembre de 2020). RESULTADOS: Un total de 1645 pacientes consecutivos fueron evaluados durante un período de 7 meses. La mortalidad global (≤30 días) fue del 9.7% (159 pacientes): 7.7% en pacientes hospitalizados en salas convencionales, y 16.7% en pacientes que requirieron ingreso en UCI. La mortalidad global disminuyó del 11.6% en el primer mes al 1.4% en el último mes evaluado, reflejando una progresiva y significativa tendencia a la baja (p para la tendencia <0.001). La edad de los pacientes ha cambiado con el tiempo, habiendo alcanzado su pico en junio. La mayoría de cambios en el uso de antivirales y antiinflamatorios se han documentado. La edad (OR 1.1; CI 1.1­1.12), cardiopatía crónica (OR 1.7; CI 1.1­2.9), dímero-D>700 ng/mL (OR 2.3; CI 1.3­4.1), ferritina>489 ng/mL (OR 1.9; CI 1.5­3.2), PCR>7 mg/dL (OR 2.6; CI 1.5­4.6), y una menor duración desde el inicio de síntomas a la hospitalización (OR 1.11; CI 1.04­1.17) fueron factores asociados a la mortalidad intrahospitalaria a 30 días. Por el contrario, el ingreso hospitalario previo en los últimos meses (OR 0.80; CI 0.65­0.98) se asoció significativamente a una menor mortalidad. DISCUSIÓN: La mortalidad intrahospitalaria ha disminuido en los pacientes con COVID-19 durante los últimos meses, incluso siendo similares las características de los pacientes. Algunos cambios realizados en el manejo de estos pacientes podrían explicar esta tendencia decreciente. Nuestro estudio aporta datos actualizados en la mortalidad de los pacientes hospitalizados con COVID-19, que podrían ser útiles de cara a establecer unos cuidados estándar de calidad. FINANCIACIÓN: EIT Health, European Union´s Horizon 2020 Research and Innovation Programme, EDRD. PPA [CM18/00132], NGP [FI19/00133] y CGV [FIS PI18/01061], han recibido becas del Ministerio de Sanidad y Consumo, ISCIII.

Incidence of co-infections and superinfections in hospitalized patients with COVID-19: a retrospective cohort study.

OBJECTIVES: To describe the burden, epidemiology and outcomes of co-infections and superinfections occurring in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: We performed an observational cohort study of all consecutive patients admitted for ≥48 hours to the Hospital Clinic of Barcelona for COVID-19 (28 February to 22 April 2020) who were discharged or dead. We describe demographic, epidemiologic, laboratory and microbiologic results, as well as outcome data retrieved from electronic health records. RESULTS: Of a total of 989 consecutive patients with COVID-19, 72 (7.2%) had 88 other microbiologically confirmed infections: 74 were bacterial, seven fungal and seven viral. Community-acquired co-infection at COVID-19 diagnosis was uncommon (31/989, 3.1%) and mainly caused by Streptococcus pneumoniae and Staphylococcus aureus. A total of 51 hospital-acquired bacterial superinfections, mostly caused by Pseudomonas aeruginosa and Escherichia coli, were diagnosed in 43 patients (4.7%), with a mean (SD) time from hospital admission to superinfection diagnosis of 10.6 (6.6) days. Overall mortality was 9.8% (97/989). Patients with community-acquired co-infections and hospital-acquired superinfections had worse outcomes. CONCLUSIONS: Co-infection at COVID-19 diagnosis is uncommon. Few patients developed superinfections during hospitalization. These findings are different compared to those of other viral pandemics. As it relates to hospitalized patients with COVID-19, such findings could prove essential in defining the role of empiric antimicrobial therapy or stewardship strategies.

Can Artificial Intelligence Improve the Management of Pneumonia.

The use of artificial intelligence (AI) to support clinical medical decisions is a rather promising concept. There are two important factors that have driven these advances: the availability of data from electronic health records (EHR) and progress made in computational performance. These two concepts are interrelated with respect to complex mathematical functions such as machine learning (ML) or neural networks (NN). Indeed, some published articles have already demonstrated the potential of these approaches in medicine. When considering the diagnosis and management of pneumonia, the use of AI and chest X-ray (CXR) images primarily have been indicative of early diagnosis, prompt antimicrobial therapy, and ultimately, better prognosis. Coupled with this is the growing research involving empirical therapy and mortality prediction, too. Maximizing the power of NN, the majority of studies have reported high accuracy rates in their predictions. As AI can handle large amounts of data and execute mathematical functions such as machine learning and neural networks, AI can be revolutionary in supporting the clinical decision-making processes. In this review, we describe and discuss the most relevant studies of AI in pneumonia.

Repercusión neonatal de la inmigración: comparación de los periodos 2003–2004 y 2007–2008 / Neonatal repercusions of immigration in Spain: comparison of periods 2003¨C2004 and 2007¨C2008

Fundamento y objetivos. Conocer las características de los recién nacidos (RN) de las gestantes inmigrantes atendidas en nuestro medio y compararlas con las de los RN de madre autóctona. Pacientes y métodos. Se incluyen los RN atendidos en la Sección de Neonatología del Hospital del Mar en el período 2007–2008 (n=3.177). Las gestantes inmigrantes se clasificaron en 6 regiones. Se establecieron 12 diagnósticos y se calculó el riesgo relativo (RR) de estos. Se compararon los resultados con los obtenidos en un estudio previo en el período 2003–2004. Resultados. Hubo 1.373 RN autóctonos y 1.743 RN inmigrantes. Las gestantes inmigrantes presentaban mayor incidencia de antígeno de superficie de la hepatitis B (RR de 4,33), riesgo de infección (RR de 1,24) y macrosomia (RR de 1,4). Hubo 6 gestantes inmigrantes con virus de la inmunodeficiencia humana (VIH) positivas frente a 8 españolas. Las gestantes inmigrantes tenían menos incidencia de consumo de drogas (RR de 0,15). No hubo diferencias significativas en el resto de las variables. Resultados. En el comparativo entre los 2 períodos observamos un aumento de la inmigración. No persiste el mejor peso al nacimiento en RN inmigrantes que era significativo en el período 2003–2004. Continúa predominando la infección por VIH y por virus de la hepatitis C en autóctonos, aunque con incremento en la población inmigrante, y la infección por virus de la hepatitis B en los inmigrantes y en la etnia gitana. Conclusiones. Tendencia a la equiparación de los resultados perinatales en los 2 períodos, persistencia de complicaciones secundarias a un control prenatal inadecuado, menor consumo de drogas y moderado incremento de la infección por VIH y virus de la hepatitis C en la población inmigrante y de infección por virus de la hepatitis B en la población inmigrante y autóctonos de etnia gitana (AU)

Background and objectives. To describe the characteristics of immigrant women′s newborns in our environment, and to compare them with those of native women. Patients and methods. All newborns attended in the Neonatology Unit of Hospital del Mar in Barcelona, Spain, between January 2007–December 2008 were included (n=3,177). Pregnant immigrant women were classified in six regions. Twelve diagnoses were defined and their relative risks were calculated. The results were compared with the results obtained in a previous study of the period 2003–2004. Results. There were 1,373 native newborns and 1,743 of immigrant origin. Immigrant women showed a higher rate of HBsAg carrier status (RR 4.33), neonatal infection risk (RR 1.24) and also macrosomia (RR 1.4). There were 6 HIV positive pregnant immigrant women compared with 8 Spanish women, and drug abuse was lower in the immigrant group (RR 0.15). There were no significant differences in the rate of other diagnoses. In the comparative rates between both periods there was an increased rate of immigrant women′s newborn. We did not find any differences in the mean birth weight among newborns of immigrant women during both periods of time. HIV and hepatitis C infection remained higher in native pregnant women and hepatitis B infection in immigrant women and gypsy native women. Conclusions. The study shows similar results between the two periods with persistence of complications secondary to an inadequate prenatal care, lower drug abuse and moderate increase in HIV and VHC infection in immigrant women and hepatitis B infection in immigrant women and gypsy native women (AU)

[Neonatal repercussions of immigration in Spain: comparison of periods 2003-2004 and 2007-2008]. / Repercusión neonatal de la inmigración: comparación de los periodos 2003-2004 y 2007-2008.

BACKGROUND AND OBJECTIVES: To describe the characteristics of immigrant women's newborns in our environment, and to compare them with those of native women. PATIENTS AND METHODS: All newborns attended in the Neonatology Unit of Hospital del Mar in Barcelona, Spain, between January 2007-December 2008 were included (n=3,177). Pregnant immigrant women were classified in six regions. Twelve diagnoses were defined and their relative risks were calculated. The results were compared with the results obtained in a previous study of the period 2003-2004. RESULTS: There were 1,373 native newborns and 1,743 of immigrant origin. Immigrant women showed a higher rate of HBsAg carrier status (RR 4.33), neonatal infection risk (RR 1.24) and also macrosomia (RR 1.4). There were 6 HIV positive pregnant immigrant women compared with 8 Spanish women, and drug abuse was lower in the immigrant group (RR 0.15). There were no significant differences in the rate of other diagnoses. In the comparative rates between both periods there was an increased rate of immigrant women's newborn. We did not find any differences in the mean birth weight among newborns of immigrant women during both periods of time. HIV and hepatitis C infection remained higher in native pregnant women and hepatitis B infection in immigrant women and gypsy native women. CONCLUSIONS: The study shows similar results between the two periods with persistence of complications secondary to an inadequate prenatal care, lower drug abuse and moderate increase in HIV and VHC infection in immigrant women and hepatitis B infection in immigrant women and gypsy native women.